Hey, Ivan Sabik suggested to use docker-compose for my airflow ETL site, so that it's easier and quicker to get started. I managed to derive from the puckel/docker-airflow repository and made the etl airflow example uppable in 2 steps: The only assumption is that you have a recent docker environment set up (1.6+ , not ubuntu's 1.5.2 for example).
1 run the docker-compose command 2 start the dag to set up connections, variables and pools. 3 wait 4 ready to rumble I figured that this can be a useful approach for anyone to set up airflow training or workshops or if you need standard local dev environments that you can zap and restart very easily (the latter really helps to get new joiners up and running in minutes). You can find the relevant docker compose here: https://github.com/gtoonstra/etl-with-airflow/blob/master/docker-compose-LocalExecutor.yml docs for running it: https://gtoonstra.github.io/etl-with-airflow/etlexample.html#run-airflow-from-docker Rgds, Gerard
